<?xml version="1.0" encoding="UTF-8"?>
<!-- generator="FeedCreator 1.8" -->
<?xml-stylesheet href="http://manuals.pqstat.pl/lib/exe/css.php?s=feed" type="text/css"?>
<rdf:RDF
    xmlns="http://purl.org/rss/1.0/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
    xmlns:dc="http://purl.org/dc/elements/1.1/">
    <channel rdf:about="http://manuals.pqstat.pl/feed.php">
        <title>PQStat - Baza Wiedzy en:statpqpl:porown2grpl</title>
        <description></description>
        <link>http://manuals.pqstat.pl/</link>
        <image rdf:resource="http://manuals.pqstat.pl/lib/tpl/dokuwiki/images/favicon.ico" />
       <dc:date>2026-04-07T12:12:22+00:00</dc:date>
        <items>
            <rdf:Seq>
                <rdf:li rdf:resource="http://manuals.pqstat.pl/en:statpqpl:porown2grpl:nparpl"/>
                <rdf:li rdf:resource="http://manuals.pqstat.pl/en:statpqpl:porown2grpl:parpl"/>
            </rdf:Seq>
        </items>
    </channel>
    <image rdf:about="http://manuals.pqstat.pl/lib/tpl/dokuwiki/images/favicon.ico">
        <title>PQStat - Baza Wiedzy</title>
        <link>http://manuals.pqstat.pl/</link>
        <url>http://manuals.pqstat.pl/lib/tpl/dokuwiki/images/favicon.ico</url>
    </image>
    <item rdf:about="http://manuals.pqstat.pl/en:statpqpl:porown2grpl:nparpl">
        <dc:format>text/html</dc:format>
        <dc:date>2022-02-12T16:17:51+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>Non-parametric tests</title>
        <link>http://manuals.pqstat.pl/en:statpqpl:porown2grpl:nparpl</link>
        <description>Non-parametric tests




The Mann-Whitney U test

The Mann-Whitney  test is also called as the Wilcoxon Mann-Whitney test (Mann and Whitney (1947) and Wilcoxon (1949)). This test is used to verify the hypothesis that there is no shift in the compared distributions, i.e., most often the insignificance of differences between medians of an analysed variable in 2 populations (but you should assume that the distributions  of a variable are pretty similar to each other - comparison of rank variances c…</description>
    </item>
    <item rdf:about="http://manuals.pqstat.pl/en:statpqpl:porown2grpl:parpl">
        <dc:format>text/html</dc:format>
        <dc:date>2022-02-12T16:17:19+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>Parametric tests</title>
        <link>http://manuals.pqstat.pl/en:statpqpl:porown2grpl:parpl</link>
        <description>Parametric tests




The Fisher-Snedecor test

The F-Snedecor test is based on a variable  which was formulated by Fisher (1924), and its distribution was described by Snedecor. This test is used to verify the hypothesis about equality of variances of an analysed variable for 2 populations.</description>
    </item>
</rdf:RDF>
